A New Support Vector Machine for Multi-class Classification. - Yingjie Tian 001; Zhiquan Qi (CIT, 2005)

A New Support Vector Machine for Multi-class Classification. - Zhiquan Qi; Yingjie Tian 001; Naiyang Deng (CIS (1), 2005)

Robust Object Detection Based on Decision Trees and a New Cascade Architecture. - Zhiquan Qi; Laisheng Wang; Yitian Xu; Ping Zhong (CIMCA/IAWTIC/ISE, 2008)

Online multiple instance boosting for object detection. - Zhiquan Qi; Yitian Xu; Laisheng Wang; Ye Song (Neurocomputing, 2011)

A Simple and Fast Multi-instance Classification via Support Vector Machine. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Web Intelligence/IAT Workshops, 2012)

Regular Multiple Criteria Linear Programming for Semi-supervised Classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (ICDM Workshops, 2012)

Structural Regular Multiple Criteria Linear Programming for Classification Problem. - Zhiquan Qi; Yong Shi 001 (Int. J. Comput. Commun. Control, 2012)

Laplacian twin support vector machine for semi-supervised classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Networks, 2012)

Twin support vector machine with Universum data. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Networks, 2012)

Regularized Multiple Criteria Linear Programming via Linear Programming. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (ICCS, 2012)

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001; Xiaodan Yu (ICCS, 2013)

How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. - Zhiquan Qi; Yingjie Tian 001; Xiaodan Yu; Yong Shi 001 (ICDM Workshops, 2013)

A Data Mining Perspective of the Newsvendor Problem. - Xiaodan Yu; Zhiquan Qi; Yuanmeng Zhao (ITQM, 2013)

Support Vector Regression for Newspaper/Magazine Sales Forecasting. - Xiaodan Yu; Zhiquan Qi; Yuanmeng Zhao (ITQM, 2013)

Efficient sparse least squares support vector machines for pattern classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi; Yong Shi 001 (Comput. Math. Appl., 2013)

Structural twin support vector machine for classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Knowl. Based Syst., 2013)

Efficient railway tracks detection and turnouts recognition method using HOG features. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2013)

Multi-instance classification based on regularized multiple criteria linear programming. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2013)

Robust twin support vector machine for pattern classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Pattern Recognit., 2013)

Biased Support Vector Machine with Self-Constructed Universum for PU Learning. - Ying Zhang; Yingjie Tian 001; Zhiquan Qi (ICDM Workshops, 2014)

Parallel Regularized Multiple-criteria Linear Programming. - Zhiquan Qi; Vassil Alexandrov 001; Yong Shi 001; Yingjie Tian 001 (ITQM, 2014)

A multi-instance learning algorithm based on nonparallel classifier. - Zhiquan Qi; Yingjie Tian 001; Xiaodan Yu; Yong Shi 001 (Appl. Math. Comput., 2014)

A new classification model using privileged information and its application. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neurocomputing, 2014)

A nonparallel support vector machine for a classification problem with universum learning. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (J. Comput. Appl. Math., 2014)

Regularized multiple-criteria linear programming with universum and its application. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2014)

Efficient sparse nonparallel support vector machines for classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi (Neural Comput. Appl., 2014)

Learning with positive and unlabeled examples using biased twin support vector machine. - Zhijie Xu; Zhiquan Qi; Jianqin Zhang (Neural Comput. Appl., 2014)

Nonparallel Support Vector Machines for Pattern Classification. - Yingjie Tian 001; Zhiquan Qi; Xuchan Ju; Yong Shi 001; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Zhiquan Qi (ICCS, 2015)

Pedestrian Detection Using Privileged Information. - Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu; Fan Meng; Limeng Cui; Yong Shi 001 (ICDM Workshops, 2015)

Pavement Distress Detection Using Random Decision Forests. - Limeng Cui; Zhiquan Qi; Zhensong Chen 001; Fan Meng; Yong Shi 001 (ICDS, 2015)

Supervised Object Boundary Detection Based on Structured Forests. - Fan Meng; Zhiquan Qi; Limeng Cui; Zhensong Chen 001; Yong Shi 001 (ICDS, 2015)

Image Segmentation via Improving Clustering Algorithms with Density and Distance. - Zhensong Chen 001; Zhiquan Qi; Fan Meng; Limeng Cui; Yong Shi 001 (ITQM, 2015)

Linear Twin SVM for Learning from Label Proportions. - Bo Wang 049; Zhensong Chen 001; Zhiquan Qi (WI-IAT (3), 2015)

Smoothing Trust Region for Digital Image Restoration. - Ruizhi Zhou; Lingfeng Niu; Zhiquan Qi (WI-IAT (3), 2015)

Semi-supervised classification with privileged information. - Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu; Bo Wang 049 (Int. J. Mach. Learn. Cybern., 2015)

Successive Overrelaxation for Laplacian Support Vector Machine. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. - Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Peng Zhang 001 (Knowl. Based Syst., 2016)

Automatic Road Crack Detection Using Random Structured Forests. - Yong Shi 001; Limeng Cui; Zhiquan Qi; Fan Meng; Zhensong Chen 001 (IEEE Trans. Intell. Transp. Syst., 2016)

Learning with label proportions based on nonparallel support vector machines. - Zhensong Chen 001; Zhiquan Qi; Bo Wang 049; Limeng Cui; Fan Meng; Yong Shi 001 (Knowl. Based Syst., 2017)

A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. - Yong Shi 001; Zhensong Chen 001; Zhiquan Qi; Fan Meng; Limeng Cui (Neural Comput. Appl., 2017)

Support vector machine classifier with truncated pinball loss. - Xin Shen 003; Lingfeng Niu; Zhiquan Qi; Yingjie Tian 001 (Pattern Recognit., 2017)

Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. - Lingfeng Niu; Ruizhi Zhou; Yingjie Tian 001; Zhiquan Qi; Peng Zhang 001 (IEEE Trans. Cybern., 2017)

Learning With Label Proportions via NPSVM. - Zhiquan Qi; Bo Wang 049; Fan Meng; Lingfeng Niu (IEEE Trans. Cybern., 2017)

A Survey on Semantic Segmentation. - Biao Li; Yong Shi 001; Zhiquan Qi; Zhensong Chen 001 (ICDM Workshops, 2018)

Inverse Convolutional Neural Networks for Learning from Label Proportions. - Yong Shi 001; Jiabin Liu; Zhiquan Qi (WI, 2018)

Pedestrian detection based on the privileged information. - Fan Meng; Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu (Neural Comput. Appl., 2018)

Learning from label proportions on high-dimensional data. - Yong Shi 001; Jiabin Liu; Zhiquan Qi; Bo Wang 049 (Neural Networks, 2018)

Adaboost-LLP: A Boosting Method for Learning With Label Proportions. - Zhiquan Qi; Fan Meng; Yingjie Tian 001; Lingfeng Niu; Yong Shi 001; Peng Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Novel Texture Generation Super Resolution Model. - Biao Li; Yong Shi 001; Sujuan Li; Bo Wang 049; Zhiquan Qi; Jiabin Liu (ITQM, 2019)

Learning from Label Proportions with Generative Adversarial Networks. - Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (NeurIPS, 2019)

Learning from label proportions with pinball loss. - Yong Shi 001; Limeng Cui; Zhensong Chen 001; Zhiquan Qi (Int. J. Mach. Learn. Cybern., 2019)

Constrained matrix factorization for semi-weakly learning with label proportions. - Zhensong Chen 001; Yong Shi 001; Zhiquan Qi (Pattern Recognit., 2019)

Learning to Incorporate Structure Knowledge for Image Inpainting. - Jie Yang 064; Zhiquan Qi; Yong Shi 001 (AAAI, 2020)

Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering. - Jianbo Feng; Sizhong Chen; Zhiquan Qi (IEEE Access, 2020)

Concatenated Attention Neural Network for Image Restoration. - Yingjie Tian 001; Yiqi Wang 004; LinRui Yang; Zhiquan Qi (CoRR, 2020)

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. - Jie Yang 064; Yong Shi 001; Zhiquan Qi (CoRR, 2020)

Token based crack detection. - Fan Meng; Zhiquan Qi; Zhensong Chen 001; Bo Wang 049; Yong Shi 001 (J. Intell. Fuzzy Syst., 2020)

Deep learning from label proportions with labeled samples. - Yong Shi 001; Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001 (Neural Networks, 2020)

CANet: Concatenated Attention Neural Network for Image Restoration. - Yingjie Tian 001; Yiqi Wang 004; LinRui Yang; Zhiquan Qi (IEEE Signal Process. Lett., 2020)

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001; Vassil Alexandrov 001 (IEEE Trans. Cloud Comput., 2020)

RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. - Xiang Gao; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Image Process., 2020)

s-LWSR: Super Lightweight Super-Resolution Network. - Biao Li; Bo Wang 049; Jiabin Liu; Zhiquan Qi; Yong Shi 001 (IEEE Trans. Image Process., 2020)

Multi-view Feature Augmentation with Adaptive Class Activation Mapping. - Xiang Gao; Yingjie Tian 001; Zhiquan Qi (IJCAI, 2021)

Two-stage Training for Learning from Label Proportions. - Jiabin Liu; Bo Wang 049; Xin Shen 003; Zhiquan Qi; Yingjie Tian 001 (IJCAI, 2021)

Review of monopoly models and implications for antitrust. - Mengyu Shang; Yuan Li 053; Zhiquan Qi (ITQM, 2021)

Visual Anomaly Detection for Images: A Systematic Survey. - Jie Yang 064; Ruijie Xu; Zhiquan Qi; Yong Shi 001 (ITQM, 2021)

A Review on the Construction of Business Intelligence System Based on Unstructured Image Data. - Linzi Zhang; Zhiquan Qi; Fan Meng (ITQM, 2021)

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. - Kai Li; Bo Wang 049; Yingjie Tian 001; Zhiquan Qi (CoRR, 2021)

CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. - Kai Li; Yingjie Tian 001; Zhiquan Qi (CoRR, 2021)

Visual Anomaly Detection for Images: A Survey. - Jie Yang 064; Ruijie Xu; Zhiquan Qi; Yong Shi 001 (CoRR, 2021)

RGSR: A two-step lossy JPG image super-resolution based on noise reduction. - Biao Li; Yong Shi 001; Bo Wang 049; Zhiquan Qi; Jiabin Liu (Neurocomputing, 2021)

Unsupervised anomaly segmentation via deep feature reconstruction. - Yong Shi 001; Jie Yang 064; Zhiquan Qi (Neurocomputing, 2021)

Attention Transfer Network for Nature Image Matting. - Fenfen Zhou; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Circuits Syst. Video Technol., 2021)

Credit and guarantee insurance: A consistent pricing approach in supply chain finance. - Linzi Zhang; Jiayu Xue; Mengyu Shang; Zhiquan Qi (ITQM, 2022)

A Conditional Deep Framework for Automatic Layout Generation. - Yong Shi 001; Mengyu Shang; Zhiquan Qi (IEEE Access, 2022)

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. - Yingjie Tian 001; Shiding Sun; Zhiquan Qi; Ying Liu; Zeyuan Wang (Neurocomputing, 2022)

SELF-LLP: Self-supervised learning from label proportions with self-ensemble. - Jiabin Liu; Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Yong Shi 001 (Pattern Recognit., 2022)

Learning deep feature correspondence for unsupervised anomaly detection and segmentation. - Jie Yang 064; Yong Shi 001; Zhiquan Qi (Pattern Recognit., 2022)

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. - Shiding Sun; Yingjie Tian 001; Zhiquan Qi; Yang Wu; Weizhi Gao; Yahe Wu (Biomed. Signal Process. Control., 2023)

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. - Kai Li 045; Bo Wang 049; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Cybern., 2023)

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. - Jiabin Liu; Bo Wang 049; Hanyuan Hang; Huadong Wang; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Intelligent layout generation based on deep generative models: A comprehensive survey. - Yong Shi 001; Mengyu Shang; Zhiquan Qi (Inf. Fusion, 2023)

Outlier Exposure in Visual Industrial Anomaly Detection - Survey. - Yong Shi 001; Ruijie Xu; Zhiquan Qi (ICDM (Workshops), 2024)

Structure Aware Loss for Deep Unsupervised Industrial Image Registration. - Yong Shi; Mengjin Lyu; Zhiquan Qi (ICDM (Workshops), 2024)

Rigid pairwise 3D point cloud registration: A survey. - Mengjin Lyu; Jie Yang 002; Zhiquan Qi; Ruijie Xu; Jiabin Liu (Pattern Recognit., 2024)

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. - Kai Li 045; Jie Yang; Siwei Ma; Bo Wang 049; Shanshe Wang; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Intell. Transp. Syst., 2024)

A Dual-State-Based Surface Anomaly Detection Model for Rail Transit Trains Using Vision-Language Model. - Kaiyan Lei; Zhiquan Qi (IEEE Trans. Instrum. Meas., 2025)

Improving Surface Defect Detection for Trains Based on Visual-Language Knowledge Guidance on Tiny Datasets. - Kaiyan Lei; Zhiquan Qi; Jin Song (IEEE Trans. Intell. Transp. Syst., 2025)

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective. - Yifan Zhong; Fengshuo Bai; Shaofei Cai; Xuchuan Huang; Zhang Chen; Xiaowei Zhang; Yuanfei Wang; Shaoyang Guo; Tianrui Guan; Ka Nam Lui; Zhiquan Qi; Yitao Liang; et al. (CoRR, 2025)

MSNet: A Novel Deep Learning Framework for Efficient Missing Seedling Detection in Maize Fields. - Yong Shi 001; Ruijie Xu; Zhiquan Qi (Appl. Artif. Intell., 2025)